Discrepancy Between Perception and Objective Knowledge of Evidence-Based Practice Among Latin American Psychologists: A Cross-Sectional E-Survey Study

Sampling:

A non-experimental sampling is carried out by voluntary subjects, since the subjects will come to the study by a call for applications.

Sample size

The formula of infinite population of qualitative variables will be used, because we will work with ordinal variables and because the total number of observation units that integrate it is unknown or when its population is greater than 100,000 and the formula is the following:

The sample size for 100,000 people should be 384 people, so that 95% of the time the data you want to measure is in the interval ±5% with respect to the data observed in the evaluation.

Data management plan:

Data dictionary design

Training will be provided and data dictionary will be developed describing the properties of variables such as data type (e.g. string and number), variable size, data encoding, and constraints and validations attached to a given variable (Annex).

Data collection

The research data will be obtained through the Google forms, which has "SOC 2" accreditation that meet best practices and security, as they are transmitted over a secure HTTPS connection and that user logins were protected through TLS. Furthermore, data is encrypted using industry and research standard encryption algorithms.

Data Retention

The database will be generated in Excel for further analysis in R studio, which will be kept at the University on an encrypted USB stick for data security and the password to this stick will only be held by the project manager.

Standards that provide data integrity, accuracy and coherence

The International Classification of Diseases (ICD- 11) will be used to present data consistency, accuracy and completeness through the optimal definition of mental health entities. On the other hand, the standards for data use recommended by The Global Health Training Centre will be used:

(a) The column heading (variable) is not changed between data. b) The same terminology is maintained for all variables. c) There is a consistent format and standard definition for subject identification.

1. The name of the datasets is always the same. e) Name of the form / CRF section, e.g., demographic data f) A list of data objects (names and definitions) g) Description of the data element in natural language h) Detailed properties of the data elements (data type, size, nullability, optionality, indexes) i) Response options, e.g., check box, radio button, text j) Validation rule(s), e.g., required field, range checking k) Relationship of data elements to other data elements. l) Details about the privacy and security restrictions that should be associated with the element, e.g., Protected Health Information status.

Methodological guidelines for reporting the study:

The guide to improve the quality of methodological reporting of cross-sectional online studies called CHERRIE will be used.

Data analysis

Descriptive statistics were used to analyze the central tendency frequencies of the participants' characteristics. Non-parametric analyses will be applied because the data do not meet the criteria of normality in the analysis of their distribution, the type of variable and the number of participants; therefore, Spearman correlations will be used to contrast ordinal data. On the other hand, we plan to use odds ratio analysis to determine the possibility that knowledge of evidence-based psychology is present in one population group with more studies than in another.